快速园区网拓扑发现方法
发布时间：2018-09-11 06:34
【摘要】：基于简单网管协议的拓扑发现通常需要扫描整个网段,尤其是对于小规模园区网,网段中会有许多IP地址无回应,大大增加了拓扑发现时间.为此,提出用层次遍历的方法由边缘设备向核心设备逐步搜索以便完成拓扑发现,不需要扫描网络中的IP地址,仅通过地址转发表就能高效快速地获取整个园区网的拓扑结构.仿真实验表明,该方法可在1 min内推断出包含80个节点的网络拓扑关系,通过实际部署进一步验证了方法的有效性.
[Abstract]:Topology discovery based on simple network management protocol usually needs to scan the whole network segment, especially for small scale campus network, there will be many IP addresses in the network segment without response, which greatly increases the topology discovery time. Therefore, a hierarchical traversal method is proposed to search from edge devices to core devices in order to realize topology discovery. Instead of scanning the IP address in the network, the topology structure of the whole campus network can be obtained efficiently and quickly only by address forwarding table. The simulation results show that the proposed method can infer the network topology with 80 nodes within 1 min, and the effectiveness of the method is further verified by actual deployment.
【作者单位】： 河南牧业经济学院自动化与控制系;总参第63所;广西民族大学信息科学与工程学院;
【基金】：国家自然科学基金(No.61462009) 中国博士后基金(No.2015M582832) 江苏省博士后科研基金(No.1402138C) 河南省高等学校重点项目基金(No.13B520337) 广西自然科学基金(No.2014GXNSFAA118358)资助
【分类号】：TP393.02
，
本文编号：2235897
[Abstract]:Topology discovery based on simple network management protocol usually needs to scan the whole network segment, especially for small scale campus network, there will be many IP addresses in the network segment without response, which greatly increases the topology discovery time. Therefore, a hierarchical traversal method is proposed to search from edge devices to core devices in order to realize topology discovery. Instead of scanning the IP address in the network, the topology structure of the whole campus network can be obtained efficiently and quickly only by address forwarding table. The simulation results show that the proposed method can infer the network topology with 80 nodes within 1 min, and the effectiveness of the method is further verified by actual deployment.
【作者单位】： 河南牧业经济学院自动化与控制系;总参第63所;广西民族大学信息科学与工程学院;
【基金】：国家自然科学基金(No.61462009) 中国博士后基金(No.2015M582832) 江苏省博士后科研基金(No.1402138C) 河南省高等学校重点项目基金(No.13B520337) 广西自然科学基金(No.2014GXNSFAA118358)资助
【分类号】：TP393.02
，
本文编号：2235897
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